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This research was conducted to see if using ChatGPT prompts students to think more deeply through reflection reports. The case study method and qualitative research methodology were used to carry out this study. Five graduate students in the Curriculum and Instruction department at Aksaray University's Social Sciences Institute who were teachers in various subjects and employed at various state school levels participated in the study. It was found that the majority of participants accepted all of the information presented by ChatGPT based on a citation as true, did not feel the need to control data reliability, and could be manipulated by ChatGPT while doing self-evaluation. Additionally, despite the fact that they prepared reflective reports in which they compared their essays with ChatGPT and included questions that prompted them to think critically and reflectively, as well as the fact that they had taken a graduate-level course on the teaching of higher order thinking skills, it was acknowledged that they could not demonstrate the expected performance in using higher order thinking skills other than to a limited extent. The onus should be on educators to pioneer positive examples of how to utilize ChatGPT and provide direction on how to harness its potential, supported by critical thinking, rather than to avoid using it and identify it as a tool to be avoided.

Designed by the Harvard University Project Zero team, Artful Thinking is basically a program that aims to improve students' awareness of art and increase their critical thinking skills by interpreting works of art and discussing them. In this way, students will acquire twenty-first century skills such as critical thinking and aesthetic understanding. The primary objective of this research was to investigate the impact of the Artful Thinking program on the development of critical thinking skills and attitudes towards art in 6th grade students, by implementing it as action research. This study was conducted in a middle school in Gaziantep, Turkey. 23 students and a Turkish teacher participated in the study. A total of twenty-four works of art (paintings, graffiti and ancient mosaics) were shown to students over eight weeks. Students expressed their opinions about each picture for 10-15 minutes. In order to make the students think in higher-order about art, the teacher asked questions prepared by the researcher. Thus, students were enabled to develop critical and higher order thoughts about the paintings. The findings from the students, teacher, and researcher indicated that the Artful Thinking program had a favorable impact on the students' perceptions of art, and that the students' cognitive abilities and capacity for articulation were enhanced by this program.

The ubiquity and ease with which microbial cells disperse over space is a key concept in microbiology, especially in microbial ecology. The phenomenon prompted Baas Becking's famous "everything is everywhere" statement that now acts as the null hypothesis in studies that test the dispersal limitation of microbial taxa. Despite covering the content in lectures, exam performance indicated that the concepts of dispersal and biogeography challenged undergraduate students in an upper-level Microbial Ecology course. Therefore, we iteratively designed a hands-on classroom activity to supplement the lecture content and reinforce fundamental microbial dispersal and biogeography concepts while also building quantitative reasoning and teamwork skills. In a class period soon after the lecture, the students formed three-to-five-person teams to engage in the activity, which included a hands-on dispersal simulation and worksheet to guide discussion. The simulation involved stepwise neutral immigration or emigration and then environmental selection on a random community of microbial taxa represented by craft poms. The students recorded the results at each step as microbial community data. A field guide was provided to identify the taxonomy based on the pom phenotype and a reference to each taxon's preferred environmental niches. The worksheet guided a reflection of student observations during the simulation. It also sharpened quantitative thinking by prompting the students to summarize and visualize their and other teams' microbial community data and then to compare the observed community distributions to the idealized expectation given only selection without dispersal. We found that the activity improved student performance on exam questions and general student satisfaction and comfort with the biogeography concepts. Activity instructions and a list of needed materials are included for instructors to reproduce for their classrooms.

This research is focused on assessing how the incorporation of Padlet technology affects the evaluation of historical thinking skills in high school history education. The research methodology involved a pretest-posttest approach with a randomly selected group of 70 students. The research tool employed questionnaires aligned with the study's objectives. Data analysis utilized comparative statistics, specifically the paired sample t-test. The outcomes of the study reveal a significant positive impact resulting from the integration of Padlet technology in assessing historical thinking skills. This is substantiated by the sign value being less than 0.05 for all aspects examined. Consequently, this research provides compelling evidence that this approach can serve as an effective alternative for improving the quality of history education at the high school level. The findings of this study have important implications for educators, learners, and other stakeholders. These results may be used by educators to create more successful teaching strategies that will improve their students' historical thinking and comprehension. As a personal learning tool, Padlet technology can help students comprehend the historical subjects they are studying better. For those involved, this study offers compelling proof that using Padlet technology in high school history curricula may improve its caliber.

For students to be able to compete and overcome challenges in the future, critical thinking is essential. The study's descriptive methodology aims to describe the students' critical thinking abilities. Every high school in a South Sulawesi district made up the research population. Based on school accreditation, with the use of a proportionate stratified random sampling technique, 150 students were chosen to comprise the research sample. The test instrument used is an essay distributed online. The indicators for the description questions are interpretation, analysis, and interpretation thinking skills. According to the study's findings, students' critical thinking abilities in static fluid material have an average score in the medium category of 73.09. In terms of school accreditation, students' physics critical thinking abilities average 73.87 for schools with A accreditation, 72.43 for schools with B accreditation, and 68.47 for schools with C accreditation. The percentage of each indicator of critical thinking skills is 34.58 in inference, 33.70 in analysis, and 31.71 in interpretation. It is anticipated that this study will give a broad picture of students' critical thinking competencies for teachers to choose and implement the most suitable stimulus to aid students in developing their critical thinking abilities.

The capacity for mathematical reasoning, pivotal in grasping core math concepts, directly shapes a student's success in their mathematical studies. This study aimed to detail and analyzed how the search, solve, create, and share (SSCS) instructional framework impacts mathematical reasoning skills within the context of linear equations. We adopted a quasi-experimental research approach using a non-matching control group design. To gather data on mathematical reasoning proficiency, a validated and reliable essay-type test was employed. Data collection on mathematical reasoning abilities used an essay test instrument that has been valid and is reliable. This research involved 102 eighth grade students whereby they were selected by using a purposive sampling. To measure and describe the effect size, we utilized a specific method, yielding a result of 0.97. The t-test was employed to assess the influence of the SSCS learning model, and the significance value obtained was less than 0.05. The effect size, as determined, stands at 0.97, suggesting a substantial impact. The t-test results underscore a significant relationship between the SSCS learning model and the enhancement of mathematical reasoning abilities. This research delineates a framework for employing the SSCS model to enhance students' mathematical reasoning capabilities. It is evident that such reasoning abilities play a pivotal.

The aim of this study is to examine how middle school mathematics teachers diagnose and attempt to eliminate students' misconceptions in algebra. The study employed a case study method and embedded single-case design. The research was conducted with three mathematics teachers working in different state schools and having different professional experiences, as well as ten students from the eighth-grade classes of the same schools. The data collection instruments used in the study included the Diagnostic Test developed by researchers to identify students with misconceptions, the Assessment Framework prepared for the evaluation of teacher performances in diagnosing and eliminating student misconceptions, and Semi-Structured Interviews conducted between students and teachers, which were recorded and made available in audio/video format. The study revealed that teachers generally resorted to conventional methods in the process of diagnosing and eliminating students' misconceptions. In most cases, teachers superficially addressed students' errors and did not fully focus on students' thinking. Regarding the processes aimed at eliminating student misconceptions, teachers preferred to directly inform students that their answers were incorrect, rather than facilitating students in recognizing their own mistakes. The findings highlight the need to increase teachers' awareness and student knowledge regarding misconceptions in algebra.

The article reviews some of the relationships between AI and education, emphasizing the metaphors used, the difficulties in finding points of agreement, as well as aspects of the social criticism that is made of AI (e.g. considering that it can be a form of unwanted deviation). AI appears as one more case of technology that comes to improve education, as happened in the past with other less "intelligent" technologies, although now with more arguments in its favor. Secondly, it explores the logical mechanisms (abduction) that are widely used in human reasoning but also in AI, showing how their uncontrolled use can lead to certain conversation algorithms being able to lie, something that teachers would not do. An ethical rather than logical question is raised that deserves to be explored later.

Culture shapes pupils' mathematical learning, their performances and life trajectories of participation (César, 2013a, 2013b). It also contributes to the senses they attribute to mathematical learning (Bakhtin, 1929/1981). Using collaborative work and interempowerment mechanisms facilitates knowledge appropriation (César, 2009). This is particularly important for pupils participating in minority cultures, socially undervalued and whose L1 is not the instruction language. Bi-univocal culture mediation (César, 2017b) is important regarding empowerment. We used an instrument to evaluate pupils' abilities and competencies (IACC), conceived by the "Interaction and Knowlwdge" (IK) team (Machado, 2014), and other mathematical tasks. The goal we address is to trace the differences between their approaches to problems, mathematical reasoning and solving strategies used by pupils whose L1 is ideographic (Creole, Cape Verde) or phonetic (Portuguese). We developed an intrinsic case study (Stake, 1995). The main participants are the pupils from almost 600 classes (all over Portugal and Cape Verde) who participated in the IK. The analysis of some examples illustrates that L1 shapes pupils' approaches to problems, mathematical reasoning and solving strategies. This evidence plays an important role in their access to school achievement and in teachers' understanding about how they can promote pupils' mathematical learning.

Many articles have been published in gifted education in recent years. This study aims to provide a comprehensive review of the evolution of academic studies in gifted education. In this context, the structural topic modeling (STM) method was used to analyze the topics and trends in the field. STM is a machine learning technique that utilizes natural language processing techniques based on text mining. It is a valuable methodology for identifying a text corpus's main topics and trends. The corpus used in this study is 5,127 articles from nine leading journals in giftedness without any year limitations. As a result of the analysis, five topics that prominently emerged in the literature were discovered. These are curriculum and instruction, social-emotional characteristics, thinking skills, identification and assessment tools, and equity and policies. The research topics and trends discovered due to the analysis are discussed within the literature framework, and recommendations are presented.

Extant literature has preliminarily confirmed the potential benefits of holographic projections for educational purposes. Yet, students' experiences of learning by holographic projection have rarely been addressed. The main purpose of this study was therefore to explore students' conceptions of and approaches to learning by holographic projection. A holographic projection system was devised to assist students in learning the concept of lunar phases. This study also investigated the relationships between students' conceptions and approaches, and determined if there were any variations based on students' learning gains. Phenomenographic analysis was adopted to analyze 30 university students from Taiwan, and a multiple-choice conceptual test was conducted to assess their learning achievements. The main findings indicated that students with conceptions of learning by holographic projection as increasing the presence of a scene or mapping 2D images to 3D structures tended to adopt surface approaches, such as only observing the changes presented in the holographic projection, repetitively operating the system functions without intended purposes, or simply following the instruction guidelines to meet the minimal requirements. However, this study unexpectedly found that students who utilized surface approaches had significantly higher learning gains on the conceptual test than their counterparts did.

The core purpose of integrating inquiry-based learning strategies into STEM activities is to create a challenging learning environment that stimulates students' active learning, thereby effectively enhancing their interest in learning, thinking skills, and practical application abilities. To achieve these goals, developing more technology-assisted tools and platforms to improve teaching efficiency and enrich the learning experience becomes crucial. Therefore, this research developed InquiryGPT, which guides students through the POEE inquiry process by imposing limitations, facilitating dialogue, and providing feedback, while avoiding over-reliance on ChatGPT. This promotes the cultivation of higher-order thinking skills through interactions with InquiryGPT, thereby enhancing students' knowledge construction and understanding. This study, based on the Technology Acceptance Model (TAM), examined the effectiveness of InquiryGPT. The results showed no significant difference between InquiryGPT and ChatGPT in terms of perceived usefulness and perceived ease of use. Additionally, through analysis of covariance (ANCOVA), the study further analyzed the impact of InquiryGPT on students' higher-order thinking skills and learning scores, proving that it significantly enhances students' creativity, problem-solving abilities, critical thinking, and knowledge construction.

Debugging is essential for identifying and rectifying errors in programming, yet time constraints and students' trivialization of errors often hinder progress. This study examines differences in debugging challenges and strategies among students with varying computational thinking (CT) competencies using weekly coding journals from an online undergraduate CT course. Participants used Scratch, a block-based programming language, and their journals from five assignments were analyzed using Term Frequency-Inverse Document Frequency and Structural Topic Modeling. High-performing students engaged with diverse topics and specific blocks tied to their weekly projects while low-performing students faced repetitive and broad challenges, such as understanding motion blocks and broadcast concepts. These patterns reveal that low-performing students struggle particularly during the 'diagnose the fault' phase of debugging, often hindering their progress in the final stage. Such challenges highlight the necessity for targeted educational interventions to improve the debugging proficiency and overall CT skills. The study underscores the importance of further research into students' logical thinking processes during code review and debugging, suggesting the use of think-aloud protocols and detailed tracking of debugging practices for deeper insights. This research contributes to the field by showing that differentiated instruction and strategic support can enhance debugging skills across different student performance levels.

This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot programming tasks, where students used the same CT concepts in a different modality. By explicitly connecting embodied actions with programming tasks, the intervention aimed to enhance students' comprehension and transfer of CT skills. Forty-four first- and second-grade students participated in the study. The results showed significant improvements in students' CT competency and positive attitudes toward CT. Additionally, an analysis of robot programming performance identified common errors and revealed how students employed embodied strategies to overcome challenges. The effects of embodied learning and the impact of embodied learning strategies were discussed.

Although student covariation reasoning has been explored in depth to improve understanding of the correspondence between variables, research has focused on studying existing reasoning about variables in Cartesian representations. The working method had a qualitative approach, with a descriptive exploratory scope, the spontaneous representations that the participants evidenced under the level of covariational reasoning of the variables present in three contextualized situations were explored, posed to a population of third-grade middle school students. The students argued with concrete and abstract drawings the general behavior of the variables. At low levels of reasoning they used pictorial representations, at higher levels they used graphical diagrams and tables. The exploratory study shows a relationship between the type of spontaneous representations and the student's level of covariational reasoning, as well as the rigor of the description of the problem.

Mathematical reasoning has been a critical concern in Turkey especially since the structure of the student selection examination for high schools changed six years ago. The ability to solve the questions in the new exam requires high level reasoning and argumentation skills. Schools, whether they are public or private, prepare 8th graders for this exam with intense educational programs. They frequently use skill-based questions--similar questions to the ones in the new exam, which require high level mathematical reasoning. This study indicates that students gain better mathematical reasoning skills in learning environments promoting collective discussion and argumentation. Hence, these questions need to be solved in these kinds of environments. In this study, two cases are analyzed to understand the argumentation process in classrooms in depth. Audiotapes of two 8 th grade classrooms, one from a public school, another from a private school, are analyzed. The same teaching material--a worksheet including skill-based questions--is used in the classrooms. During analyzing, qualified argumentation pattern--a pattern including students' claims and justifications/evaluations for those claims--is defined. Analysis of classroom audiotapes revealed that that there are significant differences between two classrooms' argumentation structure and type of dialogues emerged in the classroom. In one classroom there is a more qualified argumentation process than in the other classroom. In addition, analysis of the type of the dialogues indicates that two classrooms have different types of dialogues. Overall, the study reveals that despite the differences, both classrooms mostly included teacher-individual interactions and they have little collective discussion.

Within the field of K-2 computer science (CS) education, unplugged computational thinking (CT) activities have been suggested as beneficial for younger students and shown to impact young students' skills and motivation to learn about CS. This study sought to examine how children demonstrate CT competencies in unplugged sequencing tasks and how children use manipulatives to solve unplugged sequencing tasks. This case study approach examined two unplugged sequencing tasks for six children ranging from ages five to eight (pre-kindergarten to 2nd grade). Children showed evidence of several CT competencies during the sequencing tasks: (1) pattern recognition, (2) algorithms and procedures, (3) problem decomposition, and (4) debugging. The strategies and use of manipulatives to showcase CT competencies seemed to evolve in complexity based on age and developmental levels. Taking into account children's abilities to demonstrate CT competencies, this study suggests that sequencing is a developmentally appropriate entry point for young children to begin engaging in other CT competencies. In addition, these unplugged sequencing tasks can also be easily integrated into other activities commonly experienced in early childhood classrooms.

This study investigates the contribution of plugged and un-plugged activities to primary school students' development of computational thinking skills. The plugged and unplugged activities were used together in this study. In the implementation, in addition to the un-plugged activities prepared by the "Ministry of National Education," activities prepared by the researcher were also used. Plugged activities were also determined and implemented on the code.org website according to the age of the students and subjects. A quasi-experimental design was used with a single group to determine the changes before and after learning and to investigate the research questions. The measurements were performed with the Bebras tasks both before and after the implementation. Bebras consists of internationally valid tasks that measure computational thinking. The results showed that the combination of plugged and unplugged activities helped improve students' computational thinking skills. Our findings show that using a combination of unplugged and plugged activities is beneficial for primary school students. Further research is needed to evaluate these activities separately and their role in providing gains. Additionally, the effects of using different teaching methods in programming education can be examined. [Note: The issue number (2) shown in the citation on the PDF is incorrect. The correct issue number is 3.]

This study aims to describe preservice mathematics teacher knowledge of higher order thinking skills in terms of definition, Bloom's taxonomy level, curriculum, learning, and evaluation. This research is quantitative research with a survey method. and sample consisted of 248 preservice mathematics teachers in semesters VI-VIII of the Department of Mathematics Education, Nusa Cendana University, Timor University, and Wira Wacana Sumba University. The instrument used was a questionnaire about high order thinking skill (HOTS) which consisted of 105 statements. Data analysis used Likert's summeted rating, one sample test, Mann Whitney, Kruskall-Wallis tests, multiple linear regression test, and multivariate analyisis of variance (MANOVA) test. The results showed that the knowledge level of preservice mathematics teacher was in the good category. Based on gender differences, there was no significant difference in the average knowledge of preservice mathematics teacherabout HOTS, there was a significant difference in the average knowledge of preservice mathematics teacher about HOTS which is significant based on differences in academic ability and gender differences do not significantly affect knowledge about HOTS levels in Bloom's taxonomy, curriculum, and pedagogy while academic knowledge has a significant effect on HOTS knowledge of preservice teachers in almost all aspects except for pedagogy.

The objective of this research is to examine teachers' competence in designing activities after engaging in professional development activities aimed at enhancing teaching design in order to develop students' thinking abilities that are contextually appropriate. The participants consist of 5 elementary school science teachers from schools. The research employed semi-structured interviews and classroom observation as research instruments. The findings reveal that teachers engaged in self-development through observation and learning from their peers within the community of practice (CoP). They receive advice and feedback from fellow teachers and apply these insights to improve their activities. Consequently, teachers are able to continuously refine and develop their teaching approaches to align with students' contexts. This approach facilitate diversification in thinking and learning management, as well as collaborative teamwork to enhance teaching methods. As a result, engaging and interesting thinking development activities are incorporated into student learning, along with the creation of a seamless learning-promoting environment. Collaborative teamwork in instructional design and problem-solving further afford teachers the opportunity for additional self-learning and personal development. This collaborative approach also contributes to fostering cognitive diversity and relieved the need for individual teachers to undertake all tasks independently.

Higher order thinking skills (HOTS) are an important element in facing the challenges of the 21 st-century. Difficulty in solving problems systematically, facing challenges in an organized manner, and being unable to design original solutions are due to the low HOTS that students have. HOTS ability can improve students who low-level thinking skills in several ways, for example, through learning integrated with media, practice, and assessment or HOTS-based cognitive assessment. The purpose of this study was to develop and implement a HOTS-based cognitive assessment to assess students' HOTS abilities. The device development model used is an adaptation of the analysis, design, development, implementation, and evaluation (ADDIE) model. The research sample consisted of 30 students in class 11 of the Governance and Office Automation Competency Program of Vocational High School 1 Kudus. The result is that 11 students have the HOTS ability with very good criteria, 17 well criteria, and 2 enough criteria. This study suggests that a test instrument for further research is to measure students' HOTS ability. The Experts conclude that HOTS-based cognitive assessment can be used as an approach to improve students' HOTS to actively think selectively and supported by logical argumentation.

Socioscientific issues (SSIs), which are an important component of scientific literacy in science education, are scientific-based issues with dilemmas and no clear answers. SSIs can be local issues that affect a region or global issues that affect the world. This study aimed to investigate informal reasoning (IR) patterns and their influencing factors on science teachers about local SSIs. The research was designed as a case study. The participants consisted of 38 science teachers from various provinces of Central Anatolia, where the local features of context were at the forefront. Teachers were asked to form an IR about the texts with dilemmas addressed to them. Using content analysis, teachers' IR patterns were based on rationalistic, emotive, and intuitive reasoning; factors affecting their reasoning were analyzed according to sociology-culture, environment, economy, science, technology, ethics-morality, and policy (SEE-STEP). In the results, science teachers mostly use rationalistic IR and rationalistic and intuitive IR patterns about energy-related local SSIs. While the factors that most influence teachers' IR regarding local SSIs are economy and environment, the factor that least influences their IR is ethics. As a result of the study, IR is closely related to the context and environmental/socio-cultural background that can influence IR. Based on the result that teachers' IR is affected by the content, the main suggestion of this study is to investigate the IR of different contents in local SSIs.

Flavell's theory of metacognition was innovative at the time for its promising practicality. However, research findings that report inconsistencies in metacognitive trainings' outcomes and insufficiencies of translating the theory into mainstream classrooms have accumulated since then. In this sense, there may be a need to revisit metacognition theory for its practicality and credentiality. From a phenomenological perspective, this paper first describes the fundamental tenant of theory; thinking, and whether metacognition theory recognizes the nature of thinking. To manage thinking, it should be stimulated first. In other words, a sensitivity towards a stimulus that is metacognitive responsiveness needs to be raised to initiate the attendance of higher order thinking. Thinking and metacognitive responsiveness pertain to personal relevance, attentiveness, interest, previous experiences, tools for thinking, features of tasks, and the nature of social interactions. Therefore, it is important to present the stimulus designed or adapted to initiate individuals' thinking or metacognitive responsiveness. In this paper, Flavell's theory of metacognition was revised to embrace metacognitive responsiveness explicitly, and it is highlighted that practical implications need to focus on materials to initiate metacognitive responsiveness.

This analysis dissects a piece of information into its parts and determines how they interact in constructing a concept. This study focuses on enhancing the analytical thinking skills of grade 6 students in science and technology courses by implementing inquiry-based learning management. The aim is to meet the minimum requirement of 70 percent and assess student satisfaction with the approach. This work follows a classroom action research approach involving planning, action, observation, and reflection steps. The target group comprises 25 grade 6 students studying in the first semester of the 2022 academic year at an elementary school in Northeast Thailand, selected through purposive sampling. The research tools include six 5E inquiry-based learning plans, an analytical thinking skills test, and a satisfaction questionnaire. Data collection involves implementing the learning plan in two operational cycles, conducting analytical thinking tests, and administering satisfaction questionnaires. The collected data are analyzed to determine achievement levels and satisfaction ratings. The statistics used are mean, standard deviation, and percentage. The findings from the first operational cycle indicate that 76.0% of students did not meet the evaluation criteria. After the second operational cycle, the mean score improved, and all students met the assessment criteria of 70.0%. Overall, the inquiry based learning approach has the potential to enhance analytical thinking skills, and student satisfaction levels were generally positive. These findings highlight the importance of incorporating effective learning management strategies, such as analytical thinking, to improve students' higher-order thinking skills.

The ability to think creatively is the ability to generate new ideas, innovative solutions, and unconventional thoughts in response to a situation or problem. Creative thinking involves many aspects, including imagination, association of ideas, mental flexibility, and views that are different from the usual. Creative thinking needs to be grown in students because creative thinking is very important in learning which will greatly assist students in solving problems with various solutions. The use of appropriate learning model equipment can support the development of students' critical thinking skills. One effort that can be done is to use innovative teaching materials that combine various activities to develop students' creative thinking abilities. The purpose of this study is to describe the process of developing STEM-based teaching materials with a problem-based learning model on three-dimensional material, namely distance. This study uses the development method or the Research and Development method, namely 4D (define, design, develop, disseminate) but is limited to the develop stage. The data analysis technique of this research uses descriptive analysis techniques both qualitatively and quantitatively. Data collection uses a feasibility validation sheet, readability and student response questionnaires. The results showed that the average score of the eligibility of teaching materials was 81.66% in the appropriate category, the average score of readability of teaching materials was 90% in the easyto-understand category, and the average student response score to teaching materials was 99% with very good criteria. Thus, from this assessment it can be concluded that the teaching materials developed are feasible to use, easy to understand, and have a good response from students. The suggestions put forward are that other teachers/researchers are expected to be able to carry out the same research but develop teaching materials with different materials or abilities.

The first step to access information; it is possible to perceive it by hearing, seeing and touching. It is necessary to make sense of this gained knowledge. Therefore, having some basic skills forms the basis of all disciplines. The purpose of this research is to determine skills through activities prepared with an interdisciplinary approach. The research was designed as a case study. Purposeful sampling method was used to determine the study group of the research; the study was conducted with third grade primary school teaching students as the study group. As data collection tools in the study; skill target list, in-class skill observation form, semi-structured interview form and student products were used. At the end of the research, the students' skills were determined and in terms of science skills; it was revealed that life skills and innovative thinking skills were sufficient, but scientific process skills were not sufficient. In terms of language skills, reading and writing skills were found to be at an intermediate level. However, speaking skills, which are self-expression skills, were found to be at a low level. In terms of mathematical skills, it was observed that their problem solving skills were high, but their level of using basic mathematical skills was low. Technology skills; it has been found that it is sufficient in terms of algorithm creation, but not in the context of science acquisition. In addition, it has been observed that the activities prepared through the task-oriented teaching method make the lesson interesting and are effective in revealing creativity.

This research aimed to 1) study the factors that affect third-year undergraduate students' creative thinking ability at Baise University, 2) develop an instructional model based on design thinking and brainstorming, 3) compare third-year undergraduate students' creative thinking ability before and after using the instructional model based on design thinking and brainstorming. The sample group was 45 third-year undergraduate students at Baise University. The research Instruments were 1) an interview form about factors that affect the development of third-year undergraduate students' creative thinking ability, 2) a questionnaire about factors that affect the development of third-year undergraduate students' creative thinking ability, 3) lesson plans, 4) a creative thinking ability test 5) an interview form about opinions on teaching 6) an observation form about students' behavior. This study analyzed quantitative data through descriptive statistics, frequency, percentage, means, and standard deviation. For dependent samples, t-tests were used to analyze the different scores of undergraduate students before and after using the instructional model. Qualitative data were analyzed through content analysis. The research results were 1) the factors affecting undergraduate students' creative thinking ability include environmental factors (family, school, and society) and personal factors (personality traits, motivation, attitude, and emotional state), 2) the four components of the instructional model are principle, objective, learning process, and result, 3) after implementing the instructional model, the post-test scores of undergraduate students' creative thinking ability significantly increased, with a statistical significance of 0.01.

Yulin Normal University preschool education major existing children's game course instructional model more in passing test knowledge and practice test skills, students used to passively accept knowledge, rarely use critical thinking to treat knowledge, with a critical eye to question, thinking, and discovery, long-term students will not be able to adapt to the needs of the new era of social development of survival ability and professional competitiveness. Therefore, the objectives of this study were (1) to study the factors affecting the development of critical thinking ability, (2) to develop an instructional model based on experiential learning theory and six thinking hats, and (3) to compare the critical thinking ability of Third Year college students before and after the instructional model of experiential learning theory and six thinking hats. The sample group was 30 students from preschool education majors at Yulin Normal University. The research was conducted in three steps: studying the factors that affect the development of critical thinking ability, developing the instructional model, and the experimental and improvement process. The research instruments were a questionnaire about factors that affect the development of critical thinking ability, an interview form about factors that affect the development of college students' critical thinking ability, an observation form about student behavior, an interview form about opinions on teaching, lesson plans, and a critical thinking ability test. The study's results were 1) the main factors affecting the development of critical thinking ability include the instructional environment, the teachers, and the students, respectively, 2) the instructional model based on experiential learning theory and six thinking hats was developed consisting of four core components: a) principles, b) objectives, c) learning process, and d) results, and 3) after the implementation of the instructional model based on experiential learning theory and six thinking hats, the critical thinking ability scores of the students were higher than the critical thinking ability of the students before the experiment, with a statistical significance of 0.01 level. Finally, this paper strives to develop a based on Experiential Learning Theory and Six Thinking Hats instructional model to improve the critical thinking of preschool education students at Yulin Normal University.

Field-based education is an integral component of undergraduate geoscience curricula and provides educational and social benefits associated with enhanced learning. But field excursions can too often end up as simple show-and-tell events and fall short of implementing effective teaching practices and achieving desired student learning gains. Moreover, logistical and economic pressures tend to discourage or create obstacles for the inclusion of field-based activities in undergraduate geoscience programs, especially in commuter-based colleges and universities. This case study shares how a one-day field trip offered at a commuter-based undergraduate campus of Indiana University was deconstructed to identify content-specific learning outcomes, and then reconstructed to a unit-based learning progression. The site-specific geologic content focused on describing and correlating outcrops of Paleozoic sedimentary strata in the Starved Rock area of Illinois. Shifting from a single-day field trip to a multi-session learning progression focused on instructional scaffolding and emphasized formative assessments that integrate cognitive learning theories including retrieval practice, elaboration, spaced practice and dual coding. Common practices of field geologists such as creating sketches of outcrops (dual-coding) were purposefully integrated as meaningful activities with opportunities for peer mentoring and reflection. Restructuring to a three-week unit included pre- and post-trip assessments to enable instructors to identify and address knowledge gaps and facilitate self-driven learning opportunities for students.

The alignment of teaching and assessment in chemistry courses is critical for the practice of science and positive student learning outcomes. This paper addresses how instructors can align what they do in class with assessments across topics to improve students' understanding and explanations of chemical phenomena. We drew on the foundations of Phenomenon-Based Learning to introduce how observable events can be used as an entry point into causal mechanistic reasoning, an essential explanatory practice for scientists. This cross-institutional study focuses on two chemical phenomena: dissolution and boiling point. Students from three different learning environments completed phenomenon-based tasks centered on these two phenomena, and their responses were analyzed for different levels of causal mechanistic reasoning. We then analyzed instructors' dialogue for evidence of causal mechanistic reasoning from content units where these phenomena were emphasized. Using students' responses to the tasks and the instructor dialogue from the content units, we observed students activating more resources related to particulate behaviors when explaining the focal phenomena after instruction emphasized using causal mechanistic reasoning to explain phenomena. This is noteworthy, as it highlights the promise of sustained phenomenon-driven curricula by helping students explain events using deeper levels of reasoning. Our work provides evidence for instructional and curriculum developers to design courses in a way where we are demonstrating to students what practicing scientists do. We discuss implications for practitioners that include ways to use observable events and chemical phenomena as a foundation to promote causal mechanistic reasoning in chemistry.

Information technology (IT) is transforming the world. Therefore, exposing students to computing at an early age is important. And, although computing is being introduced into schools, students from a low socio-economic status background still do not have such an opportunity. Furthermore, existing computing programs may need to be adjusted in accordance to the specific characteristics of these students in order to help them to achieve the learning goals. Aiming at bringing computing education to all middle and high-school students, we performed a systematic literature review, in order to analyze the content, pedagogy, technology, as well as the main findings of instructional units that teach computing in this context. First results show that these students are able to learn computing, including concepts ranging from algorithms and programming languages to artificial intelligence. Difficulties are mainly linked to the lack of infrastructure and the lack of pre-existing knowledge in using IT as well as creating computing artifacts. Solutions include centralized teaching in assistive centers as well as a stronger emphasis on unplugged strategies. However, there seems to be a lack of more research on teaching computing to students from a low socio-economic status background, unlocking their potential as well to foster their participation in an increasing IT market.

A new reading curriculum incorporating the principles of concept-based instruction and reading strategy instruction was designed and implemented for a previous study. Concept-based instruction was compared with reading strategy instruction to determine the impact of the new curriculum on language learners' reading and reflective thinking skills. The data revealed that the concept-based group performed better in reflective reading and thinking skills. The new curriculum involves the creation of a Schema of a Complete Orienting Basis of an Action (SCOBA) during reflection sessions. To explore the necessity of SCOBA creation, an experimental study with two groups was conducted, where only one group created a SCOBA. Both groups received concept-based reading instruction and were compared based on their reading, reflective reading, and reflective thinking skills. The data revealed that the groups performed similarly in reading and reflective reading skills, but the SCOBA group performed better in reflective thinking skills. The study sheds light on the importance of incorporating reflective thinking activities, such as SCOBA creation, in concept-based reading instruction.

Chemical thinking has been widely recognized as a core competence for supporting students' problem solving in chemistry education. Disciplinary essential questions and perspectives are two critical aspects of chemical thinking. This study connects essential questions with such perspectives to develop a new framework for restructuring chemical thinking. A mixed-method approach was employed to integrate both qualitative and quantitative evidences to support the validity of this framework. Qualitative analysis of semistructured interviews with six chemists was conducted to identify critical perspectives on three disciplinary essential questions. The framework was reviewed by an expert panel to confirm the content validity and evaluated by thirty-one experts and 80 secondary school chemistry teachers in the form of a survey to ensure face validity. This study found that experts and teachers exhibited a consensus regarding their perceptions of chemical thinking in the context of the framework. Based on this qualitative and quantitative evidence, this study constructed a framework of chemical thinking that includes three disciplinary essential questions and 12 domain-specific perspectives that can provide researchers and teachers with a new lens through which they can both study and teach chemical thinking.

Science educators report that students struggle with understanding, using, and evaluating the evidence underpinning scientific knowledge. However, there are not many studies focused on helping instructors address those difficulties. Here, we report on a laboratory instructor's scaffolding of students' evidentiary reasoning with and about evidence for evolutionary trees with guidance from the Conceptual Analysis of Disciplinary Evidence (CADE) framework, which links biological knowledge with epistemic considerations. To consider both domain-general and discipline-specific aspects of evidence, CADE was implemented to inform scaffolds in two ways: (1) generic evidence scaffolds (GES) reminded students of general epistemic considerations; (2) disciplinary evidence scaffolds (DES) explicitly reminded students of the disciplinary knowledge of relevance for considering biological evidence. An instructor's lab discussions were compared before and after they had a workshop with CADE. CADE helped the lab instructor facilitate students' evidentiary reasoning about evolutionary trees. In comparison to baseline, both GES and DES discussions covered more aspects and relationships among types of evidence for evolutionary tree-thinking and the instructor prompted more kinds of general epistemic considerations and biological knowledge. DES discussions emphasized the importance of disciplinary knowledge for research design. The CADE framework guided planning and implementation of intentional scaffolding aimed at guiding evidentiary reasoning.

Special tasks for pre-service teachers (PSTs) in university mathematics courses ("interface tasks") are a common innovation in recent years to overcome the second discontinuity. By this, we mean tasks that are situated by typical everyday challenges of mathematics teaching and in which PSTs must use their mathematical knowledge and skills in a professionally relevant way. In this paper, we analyze answers that PSTs have created to an interface task on symmetry. The PSTs were asked to clarify a student's question from a mathematical perspective and then give a suitable elementarized answer. We situate these two steps theoretically and reconstruct the mathematical reasoning in PSTs' answers. Through qualitative content analysis, we examined how PSTs justify figures' symmetries from a university mathematics perspective and when responding to the fictitious student. The scenario of a student questioning the existence of 100° rotationally symmetrical figures elicited rich and varied responses, proving suitable for an interface task. We compared PSTs' reasoning related to mathematical clarification with the reasoning related to elementarization. In many cases, this revealed a productive use of course content. An interesting result is that there is no uniform picture as to whether the arguments are more detailed in the mathematical clarification or in the elementarization.

Artificial intelligence (AI)-driven learning has become an irreversible trend in foreign language education. Scholars are increasingly focusing on this field, yet few have examined its impact within English literature classes. To fill this gap, we designed an 8-week intervention study with mixed methods and recruited 90 students, with 42 in the experimental group and 48 in the control group, matched for average age, English proficiency and gender ratio. Critical thinking levels were measured before and after the intervention using a standardised assessment tool. In the experimental group, students used AI tools (ChatGPT-3.5, Bodoudou, SummarizBot, etc.) to generate and answer text-related questions, and participate in interactive quizzes and AI-assisted debates during classes, while the control group followed traditional methods without AI tools. The findings revealed a statistically significant improvement in the critical thinking skills of the experimental group compared to the control group, as measured by pre and postintervention assessments (p < 0.05). This suggests that AI tools can effectively enhance critical thinking abilities in English literature classes. This study not only contributes to the emerging discourse on AI in education but also offers practical implications for integrating AI technologies to support and enrich the learning experiences of EFL students in literature classes. The findings have the potential to guide educators and policymakers in designing AI-driven educational strategies that are culturally responsive and pedagogically effective.

This study reports an empirical case study about using interdisciplinary approach in business English courses with 41 English majors in the Chinese university context. The methodologies are two-stage surveys, teacher reflection and participant observation. The results show that participants most preferred using specialist vocabulary and cross-cultural business communication as learning activities in using interdisciplinary approach. The challenges and difficulties in interdisciplinary learning included lack of professional vocabulary, business or interdisciplinary knowledge, business thinking skills and inadequate language skills. A majority of the participants perceived the interdisciplinary approach as effective, as they had improvements in business language, knowledge, communication and English ability. For improving and refining the interdisciplinary approach, participants suggested more practical and detailed business knowledge, practice-based activities, oral simulation and role-play activities, more detailed guidance and feedback in the writing tasks, more business cases with interesting videos, increasing Chinese native language explanation and producing a business English language corpus.

Preparing high-quality graduates is a pressing challenge in teacher education, particularly among vocational high school graduates in Indonesia who face elevated unemployment rates. This experimental study explores the impact of integrating augmented reality (AR) and higher order thinking skills (HOTS) into vocational teacher education, empowering future educators with essential skills to meet evolving educational demands. The proposed learning media served to assist students in better comprehending abstract content through HOTS-based learning activities, improving subject mastery. We investigated the effects of AR-based HOTS learning media on learning performance based on self-regulated learning, digital literacy, and critical thinking, using a mixed-method research design with 241 participants. Our results demonstrate a positive impact on these factors, underscoring the significance of effective AR-based learning tools in enhancing the quality of vocational teacher education.

The usefulness of information and communication technology has been witnessed around the globe with the occurrence of rapid changes in the field of education i.e. through the formal or informal way. For this, the researchers have assessed Interactive video-based instruction (IVBI) on (N = 95; males = 47 & females = 48 age range between 12 and 15 years) moderate intellectual disability children in Guwahati, Assam, India from three day-care rehabilitation centres. The main objective was to examine the effect of IVBI intervention (IIVBI & CIVBI) on academic performance in association with the cognitive development of children with moderate intellectual disability in a comfortable setting within working hours. The findings conclude that children in the CIVBI group performed more actively as compared to IIVBI and comparison group, and it was due to the involvement of video-based instruction that helped understand the topic more precisely and acts effectively for CIVBI children in an experimental setting.

Computational thinking (CT) is a multidimensional term that encompasses a wide variety of problem-solving skills related to the field of computer science. Unfortunately, standardized, valid, and reliable methods to assess CT skills in preschool children are lacking, compromising the reliability of the results reported in CT interventions. To surpass this limitation, we validated in a sample of 700 preschool students (5-6 years old) the Beginners Computational Thinking test Short-Form (BCTt-SF), an unplugged 12-item instrument that measures three of the most common computational concepts assessed in preschool research: sequences, loops, and conditionals. The theoretical model underpinning the BCTt-SF was supported by dimensionality assessment, which suggested that preschool students can be distinguished in terms of four specific abilities (i.e., sequences, simple loops, nested loops, and conditionals) and that all of these abilities were related by a general factor. We modeled this hierarchical structure with a bi-factor model that presented excellent psychometric properties, from good statistical fit indices to adequate reliability of the general ability. To take full advantage of this model, we created an online application in the Shiny platform (https://computationalthinkingtests.shinyapps.io/SF-BCTt/) for the seamless scoring of examinees by any teacher or researcher who uses the BCTt-SF to assess CT skills in preschool children. Finally, we demonstrated how the BCTt-SF can be used to test the impact of educational interventions for improving CT skills in preschoolers.

The aim of this study is to explore how structural and process aspects of secondary school students' mathematical reasoning support each other in a collaborative learning environment through the integration of "GeoGebra" software and the ACODESA method. The study involved four eighth-grade secondary school students, who participated in the research utilizing the classroom teaching experiment method. Data collection for the study included the utilization of three mathematical tasks focused on the triangle inequality and auxiliary elements of the triangle, alongside students' computer screenshots, written outputs, "GeoGebra" files, and audio-video recordings. Discourse analysis and Toulmin's model were adopted for data analysis. As a result of the data analysis, it was found that the process of comparing contributed to the construction of deductive reasoning, the processes of conjecturing and exemplifying contributed to the construction of abductive reasoning, and the processes of generalizing and identifying a pattern contributed to the construction of inductive reasoning. Additionally, the process of justifying was found to be linked to all structures of mathematical reasoning (deductive, abductive, and inductive). In conclusion, these connections between the structural and process aspects have improved our understanding of MR types and contributed to the elaboration of the conceptual model for mathematical reasoning available in the literature.

This article investigates the potential mathematical learning opportunities arising from a digital activity designed to enhance students' comprehension of equations. Employing a commognitive-oriented lens, the analysis explores the potential mathematical discourses that could emerge from students' interactions with a digital scale inspired by the balance-model metaphor for teaching linear equations. Utilising the Realization Tree construct, we visually map potential realizations and mathematical connections related to various mathematical objects that can be discussed through the activity. Our analysis reveals that the dynamic nature of the digital artifact can facilitate insightful discourses around equations, numbers, and inequalities. The dynamic environment can also invite students to ask 'what if…' questions about the scale and different weight blocks, leading to explorative participation in the discourse about equations. We discuss the affordances of the activity and future implications of the Realization Trees we build in examining the learning opportunities enacted in actual students' interaction with such an activity.

In addressing the challenge of fostering functional thinking (FT) in secondary school students, our research centered on the question of how an embodied design can enhance FT's different aspects, including input-output, covariation, and correspondence views. Drawing from embodied cognition theory and focusing on an action- and perception-based task design that uses light ray contexts and different function representations, we developed a digital-embodied learning environment, using the nomogram as a central representation. Our pilot study involving four eighth-grade students provided insights into their physical interactions with these modules through a multi-touch digital interface. Analysis of video and audio recordings from the pilots, including students' hand gestures and verbal expressions, was guided by comparing hypothetical learning activities with the actual learning activities. The results show that (1) a concrete light ray context enables students to ground the abstract mathematical function concept; (2) the bimanual coordinating motion tasks, incorporating the covariation aspect of FT, allow students to connect their bodily experience with function properties; and (3) our embodied and dragging tasks support insight in the conversion between nomograms and graphs of functions, encouraging students' correspondence thinking by providing multiple perspectives to understand, reason about, and manipulate the function. In conclusion, our findings suggest the potential of digital-embodied tasks in fostering FT, evident in students' diverse strategies and reasoning.

In the digital age in which we live, one of the primary goals of education is to nurture individuals who are capable of thinking creatively, solving problems, and being innovative and productive. Computational thinking is an analytical process that requires defining problems and at the same time solving these problems by proceeding in creative ways. Based on this possible pattern of relationship between computational thinking and creativity, the aim of this study was to determine how two different versions of the computational thinking approach (plugged and unplugged) affect 6th-grade students' creative problem-solving skills (CPSS). Thus, two different teaching modules were designed on the circulatory system with a focus on plugged and unplugged computational thinking. A quasi-experimental design was used. Experiment group 1 utilized the plugged teaching module, experiment group 2 worked with the unplugged teaching module, and the control group in the Turkish middle school science curriculum's inquiry-based science activities. All three groups participated in 16 h of lessons over a 4-week period. We utilized the Creative Problem Solving Skills Inventory (CPSSI) for data collection. The results demonstrated that both the plugged and unplugged teaching modules were more successful at enhancing the CPSS than the inquiry-based science activities. Furthermore the unplugged teaching module was significantly more successful in developing CPSS compared to inquiry-based science activities. Hence, this empirical study demonstrated that both plugged and unplugged computational thinking approaches can enhance CPSS, but also reveals the greater effectiveness of unplugged approaches in fostering middle school students' CPSS.

The study examines the effects of different questioning strategies on elementary school students regarding scientific knowledge, views of scientific inquiry, and scientific inquiry skills during scientific inquiry video learning. A quasi-experimental design was adopted involving 78 sixth-grade Taiwanese students from three classes. The three classes were randomly assigned into three groups: instructional video with embedded open-ended questions (G1), video with embedded closed-ended questions (G2), and video only (G3). All students were required to watch three scientific inquiry videos on different topics having already taken pretests and posttests on scientific knowledge, view of scientific inquiry, and scientific inquiry skills. The data suggested that G1 and G3 had significantly better performance regarding higher-level knowledge and views on scientific interpretation than did G2, with G1 displaying the best data interpretation skills. The study implies that open-ended questioning is better than the closed-ended approach, although neither is better or worse than having no questions at all in its videos. This study should, therefore, be of value to those interested in developing or implementing science videos for elementary students.

We report on a long-term collaboration with ninth-grade mathematics teachers at a linguistically diverse high school in which we examined the intersection between mathematics and language, and how language and mathematical thinking can be developed together in a multilingual setting. We co-designed lessons that promoted conceptual understanding, increased students' access to grade level mathematics and created opportunities for students who are classified as English learners to participate in discussions. Our content focus was linear and exponential rates of change. In this article, we focus on linear rate of change and its connection to slope. After identifying three distinct meanings for and uses of slope in a ninth-grade mathematics textbook: (a) slope as steepness, (b) slope as rate of change, and (c) slope as a property of collinearity (presented in this order) and observing student interactions around slope concepts, we considered whether it may be more beneficial for students, particularly emergent multilingual students, to develop a robust quantitative understanding of slope first, then introduce the other two meanings of slope as an application of rate of change. To achieve this, we created a series of lessons incorporating dynamic interactive technology and mathematical language routines. We share three of these lessons in this article and include a classroom vignette illustrating the classroom interactions that were achieved through using our first Desmos activity.

Metacognition is defined as a higher-order thinking skill that enables individuals to monitor, control, and regulate their thinking and behavior. In education, this skill is important, as learners need to self-regulate their learning behaviors for successful lifelong learning. Thus, it is essential for educators and learners alike to know their metacognitive skills. Researchers can assist in this endeavor by developing sound and valid quantitative measures for psychological phenomena such as metacognition. No measure is more commonly used for this purpose than the Metacognitive Awareness Inventory (MAI). In the present study, the International Group on Metacognition validated the MAI employing a standard, international Spanish with a robust sample of 12 Spanish-speaking countries and 1,622 undergraduate university students. Results revealed a solid final baseline confirmatory factor analysis model for all 12 countries that supports the original two-factor structure reported in English-speaking samples from the United States. Additionally, multigroup measurement invariance analyses revealed that although five parameters varied slightly across some countries, chi-square difference tests indicated that the comparison model with these constraints freely estimated was not significantly better than the fully constrained null model, supporting measurement invariance across countries. Thus, our version of the MAI using standard, international Spanish is a valid and reliable tool for measuring metacognitive awareness in Spanish-speaking countries.

Developing metacognition in students is essential for fostering critical thinking in school. One of the skills necessary to achieve this goal is the cultivation of metacognitive vigilance--a potential means to regulate some ways of thinking held by individuals. Of particular importance is essentialism, as it underlies discourses such as racism and also hinders the comprehension of various biological models. In this paper, we aim to characterize the metacognitive regulations on essentialism made by high school students from Buenos Aires, Argentina. This exploration occurred within the context of a didactic sequence on the relationship between biology and human races, designed to promote metacognitive vigilance. Employing a qualitative approach, various types of metacognitive reflections were identified. These reflections reveal that some of the students consciously identified instances of essentialism in their daily lives, assessed its legitimacy, and constructed alternative explanations by drawing from biological models. These findings underscore the importance of nurturing metacognition as a means to deconstruct hegemonic and common-sense discourses, including those rooted in racism.

Computational thinking (CT), an essential competency for comprehending and addressing intricate issues in the digital world, has been incorporated into curriculum planning as a goal for programming education. This study introduced flow design into programming curricula to investigate its impact on undergraduates 'CT skills during pair work. Two types of flow design approaches, construct-by-self flow design (CBS-FD) and construct-on-scaffold flow design (COS-FD), were proposed to determine which approach better enhances students' CT skills. Seventy-six first-year undergraduates participated, including thirty in the CBS group and thirty-six in the COS group. Evaluations made from the results and processes of programming tasks were employed to describe computational performance and computational practices, respectively. Data gathered from CT skill surveys were thoroughly analyzed to gain a deeper understanding of computational perspectives. Our findings highlighted that COS-FD significantly improved participants' computational performance compared with CBS-FD. The COS groups fostered an engaging, sharing atmosphere, while CBS groups spent more energy on negotiating the manipulation of flow design. Moreover, both COS-FD and CBS-FD proved beneficial in enhancing participants' computational perspectives, with the COS groups better improving their algorithm thinking. The study presents valuable perspectives on the design and implementation of collaborative programming activities within curriculum education.